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Chapter 4 PRESENTATION AND ANALYSIS OF DATA

Chapter 4 PRESENTATION AND ANALYSIS OF DATA.

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Chapter 4 PRESENTATION AND ANALYSIS OF DATA

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  1. Chapter 4PRESENTATION AND ANALYSIS OF DATA This chapter of the paper presents the data gathered from the 110 senior high school students of De La Salle Araneta University who served as respondents of this research. It also provides the analysis and interpretation of data that has been organized according to the research questions enumerated in the second chapter of this paper.

  2. Demographic Profile of the Respondents This section is composed of figures and tables relative to the demographic information given by the respondents in the questionnaire. This included data on sex, senior high school academic strand, and weekly allowance. Although not central to this research, these data helped contextualize the findings and the formulation of appropriate recommendations.

  3. OPTION 1 The respondents were asked to identify their sex. Figure 1 shows the distribution of the respondents in terms of this variable. Figure 1. Distribution of Respondents by Sex

  4. Figure 1. Distribution of Respondents by Sex What can be said about this data? Fifty-eight of the 110 senior high school students (53%) who participated in the survey are females. What does this tell you about your respondents? (Quite important if the sampling used is purposive.)

  5. What does this tell you about your respondents? (Quite important if the sampling used is purposive.) These respondents have been selected through purposive sampling with the condition that they identify themselves to have taken an interest in KPOP music to a certain degree. This implies that in the case of these respondents, there are more female senior high school students who have openly expressed their interest in this genre of music as compared to their male counterparts.

  6. OPTION 2 The respondents who were randomly selected were asked to identify their sex and the senior high school strand they belong to. Figure 1 shows the distribution of the respondents in terms of both of these variables. Figure 1. Distribution of Respondents by Sex and SHS Academic Strand

  7. Figure 1. Distribution of Respondents by Sex and SHS Academic Strand The respondents chosen to participate in this research have been randomly selected through stratified sampling. With a frequency of 50 that accounts for 45.45 percent of the total sample, majority of the respondents to the survey conducted in line with this research belonged to the Science, Technology, Engineering and Mathematics (STEM) strand.

  8. In general, the female respondents with a frequency of 58 (53 percent) outnumber the male respondents by a small margin. Continue if there are other details that you wish to highlight from the data. Respondents were also asked to provide information regarding their weekly allowance. Figure 2. Distribution of Respondents by Weekly Allowance

  9. Figure 2. Distribution of Respondents by Weekly Allowance Based from the data provided in Figure 2, 32 percent of the respondents receive a weekly allowance that ranges from PhP601.00 to PhP750.00. Furthermore, the mean weekly allowance of the 110 respondents is PhP635.00 with a standard deviation of PhP55.00. Make other comparisons that you have noticed in your data. You can also look into the weekly allowances received by females compared to males.

  10. Respondents’ Perception of Online Shopping This section is devoted to presenting, analyzing, and interpreting data gathered through the survey relevant to the respondents’ perception of online shopping. Information regarding this variable is based on their responses to 24 items in the questionnaire. In each of these statements, respondents were asked to rate their level of agreement along a five-point Likert scale that includes Strongly Disagree (SD), Disagree (D), Neutral (N), Agree (A), and Strongly Agree (SA).

  11. Furthermore, the 24 statements are categorized according to four subscales of perception on online shopping: convenience, security… Data on each of these subscales are presented separately. The distribution of respondents based on their responses, the mean and standard deviation of their collective responses, and the interpretation of this mean based on the Likert scale used is provided by the succeeding tables.

  12. Table 1. Sample Weighted Mean of the Respondents’ Level of Agreement to Statements Regarding Their Perception of Security in Online Shopping Table 1 shows the data on the responses of samples to the seven statements in the questionnaire relative to their perception of how secure online shopping is. Based on the information, the highest mean was recorded at 4.28 for the fifth statement.When interpreted, this means that respondents strongly agree that imply statement here.

  13. In general, the respondents registered a strong agreement toward four of the seven statements. The weighted mean for these statements is computed at 3.85 with a standard deviation of 0.71 implying that the respondents collectively agree that online shopping is a secure mode for purchasing products. Table 2 shows the data on the respondents’ perception of convenience in online shopping…

  14. Chapter 5CONCLUSIONS AND RECOMMENDATIONS This chapter contains the conclusions drawn from the analysis and interpretation of the data discussed in the preceding chapter and the recommendations of the researchers based on the conclusions.

  15. Conclusions Based on the findings of the study, the following conclusions were drawn: 1. Majority of senior high school students of De La Salle Araneta University for the second term of the academic year 2017-2018 are females with the Science, Technology, Engineering, and Mathematics track accounting for the highest number of enrollees. On the average, SHS students receive PhP635.00 allowance per week.

  16. 2. DLSAU-SHS students have a positive perception towards online shopping in terms of security, and convenience but do not perceive products sold online to be of good quality. 3. There is no significant relationship between the weekly allowance of DLSAU-SHS students and their perception on online shopping.

  17. Recommendations Based on the conclusions, the following recommendations are proposed: 1. Online retailers because must improve the selection of the products they sell online by raising quality standards that are in line with the expectations of consumers, including SHS students. What else can they do based on the conclusions drawn? 2. Who are the other beneficiaries of the research mentioned under “Significance of the Study?” What can you suggest to them based on your conclusions? 3. Future researchers may consider doing a correlational research on consumers’ perception on online shopping and their income or socio-economic status. Experimental researches that seek to evaluate interventions that may help improve consumer perception on the quality of online products may also be conducted to inform online retailers of innovative practices that can increase their sales.

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